Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses the paid nature (7,500 sats), the prohibition of impersonation, the sample rejection upstream, and the return of a voice_id. It lacks details about asynchronous behavior or failure modes beyond sample rejection, but the key operational traits are covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat long but each sentence adds essential information: core function, consent, sample requirements, modes, cost, and payment flow. It front-loads the main purpose and then provides necessary conditions. No fluff; structure is logical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there's no output schema, the description explains the return value (voice_id). It covers payment prerequisites, sample constraints, and consent. It doesn't mention whether the operation is synchronous or where to fetch results if asynchronous, but the overall usage context is well covered for a paid cloning tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides descriptions for all parameters (100% coverage), so a baseline of 3 applies. The description adds value by clarifying the payment flow (create_payment prerequisite) and the meaning of consent (ownership/permission attestation), which are not fully captured in the schema. It also reinforces sample requirements.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Clone') and resource ('a voice you own'), and clearly distinguishes from siblings like text_to_speech by noting it returns a reusable voice_id for TTS. It also differentiates from transcribe_audio and other voice tools by focusing on voice cloning.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides explicit conditions: requires consent=true, sample requirements (format, duration, size, one speaker, no music), and payment via create_payment with toolName='clone_voice'. It implies when to use (when you need a reusable voice_id) but doesn't explicitly contrast with alternatives like text_to_speech or existing voice IDs. The preconditions are still clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.